Custom Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Custom Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A high-performance Model Context Protocol (MCP) server built with FastMCP and Python (Asyncio/HTTPX). This service enables AI agents (such as Claude Desktop, Cursor, or customized agentic workflows) to seamlessly search, fetch, clean, and digest live documentation from LangChain, LlamaIndex, and OpenAI without blowing past context windows.
nav, footer, scripts, style sheets), slashing raw context window overhead by over 40%.httpx.AsyncClient) for high concurrency during multiple search-and-fetch workflows.3xx redirection trees to capture the absolute freshest state of rapidly shifting framework documentation.LLM Client (Claude/Cursor) ──(JSON-RPC via stdio)──> FastMCP Server
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1. Serper API Scoping ──> [Targeted Search: site:docs.domain.com]
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2. Async HTTPX Client ──> [Follows 3xx Redirects to Live Page]
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3. BeautifulSoup4 ──> [Decomposes Nav/Footers/Scripts]
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LLM Context Window ─── [Clean, Token-Optimized Markdown Text]~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.